CN114598406A - Boundary calculation method of indoor antenna and related device - Google Patents

Boundary calculation method of indoor antenna and related device Download PDF

Info

Publication number
CN114598406A
CN114598406A CN202210051246.6A CN202210051246A CN114598406A CN 114598406 A CN114598406 A CN 114598406A CN 202210051246 A CN202210051246 A CN 202210051246A CN 114598406 A CN114598406 A CN 114598406A
Authority
CN
China
Prior art keywords
boundary
indoor
coarse
power
antenna
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210051246.6A
Other languages
Chinese (zh)
Other versions
CN114598406B (en
Inventor
路兆铭
周书亚
初星河
温向明
张晓洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Posts and Telecommunications
Original Assignee
Beijing University of Posts and Telecommunications
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing University of Posts and Telecommunications filed Critical Beijing University of Posts and Telecommunications
Priority to CN202210051246.6A priority Critical patent/CN114598406B/en
Publication of CN114598406A publication Critical patent/CN114598406A/en
Application granted granted Critical
Publication of CN114598406B publication Critical patent/CN114598406B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel
    • H04B17/3911—Fading models or fading generators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/10—Monitoring; Testing of transmitters
    • H04B17/101—Monitoring; Testing of transmitters for measurement of specific parameters of the transmitter or components thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/318—Received signal strength
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application provides a boundary calculation method and a related device of an indoor division antenna; the method comprises the following steps: dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions; determining coarse boundary points in all coarse grid nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna; for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold; and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve. The method effectively improves the fine granularity and accuracy of boundary division.

Description

Boundary calculation method of indoor antenna and related device
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a boundary calculation method of an indoor division antenna and a related device.
Background
In a positioning mode of an indoor terminal, when the indoor distribution system is used for positioning the terminal, the boundary of a radiation signal of each indoor distribution antenna needs to be accurately divided, and in a related method for dividing the boundary of the indoor distribution antenna, the existing specification information of the indoor distribution antenna is often relied on for rough estimation, so that fine-grained boundary division is difficult to realize.
Based on this, a scheme capable of quickly and accurately realizing the partition of the boundary of the indoor antenna is needed.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and a device for calculating a boundary of an indoor diversity antenna.
Based on the above purpose, the present application provides a boundary calculation method for a room division antenna, including:
dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions;
determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna;
for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold;
and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve.
Further, the calculating, based on the position and using a fading model, the received power of each coarse grid node corresponding to different indoor antennas includes:
for each of the coarse mesh nodes, performing the following operations:
determining the distance between each indoor sub-antenna and the connected receiver based on the position of each indoor sub-antenna;
calculating a transmission power based on the attributes of the room division antennas;
constructing a path loss model based on the light speed by using the transmitting power and the distance as the fading model;
and calculating the receiving power of the coarse grid node to each indoor branch antenna by using the fading model.
Further, the attributes include attitude, pitch, and downtilt, and the calculating the transmission power based on the attributes of the indoor divided antenna includes:
acquiring a directional diagram from the specification information of the indoor sub-antenna, and determining the attitude angle and the pitch angle of the indoor sub-antenna with respect to transmission power according to the directional diagram;
determining the downward inclination angle based on the layout posture of the indoor sub-antenna;
and constructing a transmitting power function of the indoor branch antenna towards the coarse grid node by using the attribute, and calculating the transmitting power.
Further, the determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna includes:
combining all the indoor antennas in pairs to obtain a plurality of first combinations;
for each of the coarse mesh nodes, in response to determining that the received powers of the two indoor sub-antennas in each of the first combinations are both greater than the first power threshold and that the received power difference between the two indoor sub-antennas is less than the first power difference threshold, determining the coarse mesh node as the coarse boundary point.
Further, the determining a fine boundary point in all fine mesh nodes based on a preset second power threshold and a second power difference threshold and according to the received power of each indoor branch antenna includes:
for each of the fine mesh nodes, in response to determining that the received powers of both of the room antennas in each of the first combinations are greater than the second power threshold and the received power difference between the two room antennas is less than the second power difference threshold, determining the coarse mesh node as the fine boundary point.
Further, the fitting by a polynomial fitting method based on all the fine boundary points to obtain a boundary curve includes:
determining the coordinates of each fine boundary point, and designing a parameter vector for the coordinates;
and constructing a polynomial curve function by using the coordinates and the parameter vector, and taking the polynomial curve function as the boundary curve.
Further, the constructing a polynomial curve function using the coordinates and the parameter vector includes:
calculating the mean square error of all the fine boundary points and the polynomial curve function;
determining the parameter vector when the mean square error value is minimum by using a least square method;
and constructing a polynomial curve function by using the parameter vector and the coordinates.
Based on the same inventive concept, the present application further provides a boundary calculation apparatus for an indoor diversity antenna, comprising:
a coarse meshing module configured to: dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions;
a coarse boundary point determination module configured to: determining a coarse boundary point in all coarse grid nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna;
a fine boundary point determination module configured to: for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold;
a boundary dividing module configured to: and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve.
Based on the same inventive concept, the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the boundary calculation method for an indoor diversity antenna as described above.
Based on the same inventive concept, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions for causing the computer to perform the boundary calculation method of the above-mentioned room division antenna.
As can be seen from the above, the boundary calculation method and the related device for the indoor distributed antenna provided by the application perform the division of the coarse grid and the fine grid by comprehensively considering different fine granularities based on the gridding division of the target area, and obtain the receiving power of the grid node based on the fading model, so that the coarse boundary point and the fine boundary point can be accurately determined by using the first constraint condition and the second constraint condition constructed by using the receiving power, thereby implementing the fitting of the boundary point, obtaining the boundary curve, and improving the accuracy and the fine granularity of the boundary division of the indoor distributed antenna.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the related art, the drawings needed to be used in the description of the embodiments or the related art will be briefly introduced below, and it is obvious that the drawings in the following description are only embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a boundary calculation method of a room antenna according to an embodiment of the present application;
FIG. 2 is a block diagram of a boundary calculation device of a room antenna according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating the boundary calculation decomposition steps of the indoor antenna according to the embodiment of the present application;
FIG. 4 is a diagram illustrating an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings in combination with specific embodiments.
It should be noted that technical terms or scientific terms used in the embodiments of the present application should have a general meaning as understood by those having ordinary skill in the art to which the present application belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item preceding the word comprises the element or item listed after the word and its equivalent, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
As described in the background section, the boundary calculation method of the related indoor antenna is also difficult to satisfy the requirements of actual positioning and communication.
The applicant finds in the process of implementing the present application that the boundary calculation method of the related indoor antenna has the main problems that: in the existing indoor terminal positioning mode, the positioning mode is often realized by depending on a receiver and a transmitter which are densely deployed at multiple points, but the cost of the receiver and the transmitter which are densely deployed is very high, and the indoor positioning mode is difficult to popularize in a large range.
The applicant found in the research that the indoor subsystem is not fully utilized in indoor terminal positioning, and the indoor terminal positioning can be realized by utilizing the indoor subsystem, so that the high cost of intensively deploying the receiver and the transmitter can be saved.
The applicant also finds in research that when an indoor terminal is positioned by using an indoor distribution system, indoor distribution antennas need to be densely deployed, and it is very important in terminal positioning to determine a signal radiation boundary of each indoor distribution antenna, and in a related indoor distribution antenna boundary division method, rough estimation is often performed depending on existing specification information of the indoor distribution antennas, and fine-grained boundary division is difficult to achieve.
It is to be appreciated that the method can be performed by any apparatus, device, platform, cluster of devices having computing and processing capabilities.
Hereinafter, the technical method of the present application will be described in detail by specific examples.
Referring to fig. 1, a method for calculating a boundary of a room antenna according to an embodiment of the present application includes the following steps:
step S101, dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions.
In the embodiment of the present application, a plurality of indoor antennas are disposed in a target area, the target area may be a plane in an open space, for example, a side view plane of a tunnel, a top view plane and a side view plane in a closed cabin, and the like, in the embodiment, the top view plane of an indoor space is selected as the target area, and the method of the present application will be described in detail with reference to the top view shown in fig. 4 as a specific example.
In the present embodiment, first, the decomposition step S301 shown in fig. 3, dividing the coarse mesh, is performed.
Specifically, the coarse mesh is divided into a plurality of first sub-regions in the target region, wherein the sparsity of the coarse mesh, that is, the division unit of each coarse mesh, may be determined according to specific situations.
As shown in fig. 4, a receiver and 4 antennas are arranged in a target area, and a coordinate position of the receiver and coordinate positions of the antennas in the respective rooms can be determined based on a coordinate system preset in a plan view.
And further, determining the receiving power of each coarse grid node according to the determined receiver position and the coordinate position of each room antenna and by combining the corresponding prior information of the room antennas.
Specifically, in the specification information of each indoor sub-antenna, a directivity pattern describing a signal radiation state when the indoor sub-antenna is oriented in different directions may be obtained, wherein, different indoor sub-antennas, whose directivity patterns are different, may specifically determine a function of a space azimuth angle and a pitch angle with respect to transmission power when oriented in respective directions.
Further, according to the layout posture of each room antenna, the down tilt angle of the room antenna can be obtained.
In this embodiment, the attitude, the pitch angle, and the downtilt angle are taken as the attributes of the indoor antenna, and based on the above attributes, the transmission power of the indoor antenna toward each direction can be calculated according to the following formula:
Figure BDA0003474444630000061
wherein, Pt,iIndicating that the chamber antenna i is oriented in space theta,
Figure BDA0003474444630000062
directional transmit power, theta represents the attitude,
Figure BDA0003474444630000063
the pitch angle is expressed in terms of,
Figure BDA0003474444630000064
represents the down tilt angle of the chamber antenna; wherein, the ratio of theta,
Figure BDA0003474444630000065
the direction is defined in this embodiment as one of a plurality of coarse mesh nodes.
Further, for each coarse grid node, according to the determined coordinate position of the grid node and the position of each indoor sub-antenna, the attitude angle and the pitch angle between the grid node and each indoor sub-antenna can be determined.
Further, based on the above formula algorithm, for each coarse mesh node, the transmission power of each cell antenna towards the coarse mesh node is determined.
In the present embodiment, based on the determined transmission power, for each coarse mesh node, the decomposition step S302 of calculating the reception power according to the fading model is performed.
Specifically, a proper fading model is selected according to the characteristics of the target area to calculate the received power of each indoor antenna received at each coarse grid node.
In the present embodiment, based on the determined plan view plane of the indoor space, a path loss model suitable for the enclosed space is selected as follows:
Figure BDA0003474444630000066
wherein, Pr,iRepresenting the received power of the indoor antenna i by the coarse grid node, f representing the carrier frequency of the signal transmitted by the indoor antenna, diRepresents the linear spatial distance between the indoor antenna i and the receiver, in the above-mentioned path lossIn the model, the unit of the transmission power and the reception power may be dB.
Further, based on the above model algorithm, the reception power of each of the reception antennas is calculated at each node.
Step S102, determining a coarse boundary point in all coarse mesh nodes according to the received power of each indoor branch antenna based on a preset first power threshold and a first power difference threshold.
In the embodiment of the present application, based on the above calculation, the decomposition step S303 is performed to determine the coarse boundary points.
Specifically, for each thick boundary node, pairwise combinations are performed on all indoor antennas that can be received by the thick boundary node, so as to obtain a plurality of first combinations, where the plurality of first combinations include all pairwise combinations possible.
Further, a first constraint is established as follows:
Figure BDA0003474444630000071
wherein, Pt,iAnd Pt,jRespectively representing the received power from the indoor sub-antenna i and the indoor sub-antenna j received at the thick boundary node; p0Representing a preset first power threshold describing a lower limit of the lowest acceptable received power at the coarse border node, the first power threshold ensuring that the indoor antennas i and j are both located in the vicinity of the coarse mesh node; e represents a preset first power difference threshold value, the first power threshold value describes the difference of the received power between the indoor antenna i and the indoor antenna j received at the node, and the coarse grid node is ensured to be close to the switching boundary of the indoor antenna i and the indoor antenna j.
Further, for each coarse-boundary node, each first combination of the node is determined by using the established first constraint condition.
When the first constraint condition is satisfied, that is, the received powers of the two indoor antennas at the coarse boundary node are both greater than the first power threshold, and the difference between the received powers of the two indoor antennas is smaller than the first power difference threshold, the coarse boundary node may be used as a coarse boundary point of the switching boundary of the two indoor antennas.
Step S103, for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor distribution antenna based on a preset second power threshold and a second power difference threshold.
In the embodiment of the present application, the decomposition step S304 and the fine mesh division are performed based on the determined coarse boundary points.
Specifically, as shown in fig. 4, for each coarse boundary point, the area near the coarse boundary point is divided into a plurality of second sub-areas by using a fine grid, so as to improve the resolution and accuracy of the boundary.
And the coarse boundary point is used as the center of the fine grid, and the sparsity of the fine grid is formulated according to the sparsity of the coarse grid.
Specifically, the division unit of the fine mesh is defined as:
Figure BDA0003474444630000072
where n denotes a trade-off determination parameter between computational efficiency and boundary accuracy, and σ denotes a division unit of the coarse mesh.
It should be noted that the above-mentioned method for determining the degree of sparsity of the fine mesh is only an example in this embodiment, and in some other embodiments, different degrees of sparsity of the mesh may be determined according to specific distribution characteristics of different coarse boundary points; for example, when a thick boundary point serves as a boundary of many chamber antennas at the same time, a larger value of n may be set to improve the resolution of the boundary.
Further, based on the above-described demarcated fine mesh, the decomposition step S305 is performed, and the fine boundary points are determined.
Specifically, the fine boundary point may be determined in the same manner as the coarse boundary point is determined.
First, a second constraint is established as follows:
Figure BDA0003474444630000081
wherein, P'0Represents a second power threshold and e' represents a preset second power difference threshold.
Further, among all the fine mesh nodes, the fine mesh node that meets the second constraint condition is determined as a fine boundary point.
And S104, fitting by a polynomial fitting method based on all the fine boundary points to obtain a boundary curve, and dividing the boundary of each indoor antenna according to the boundary curve.
In the embodiment of the present application, based on the determined fine mesh nodes, a decomposition step S306 is executed, and a curve fitting method is adopted to obtain a switching boundary.
Specifically, for each fine boundary point, a polynomial curve function is established as shown below:
Figure BDA0003474444630000082
where x represents the abscissa of the fine boundary point, ωiParameters representing the polynomial curve function, describe xsThe importance of the different power components in the polynomial curve function, in this embodiment all parameters in the polynomial curve function are expressed in the form of parameter vectors: (omega)0,ω1,…,ωM)。
Further, the polynomial curve functions of all the fine boundary points are fitted according to the following formulas to solve the above parameter vectors:
Figure BDA0003474444630000083
wherein x issOrdinate, y, representing the s-th fine boundary pointsThe ordinate of the fine boundary point is shown, and W represents the polynomial curve function f (x)s) N represents the number of fine boundary points.
In this embodiment, the polynomial curve function f (x) can be solved such that all the fine boundary points and the polynomial curve functions) The parameter vector W when the mean square error of (d) is minimum.
Further, the above solution can be equated to solving a least squares of the form:
Figure BDA0003474444630000091
further, the above form can be simplified as: and Y is XW, wherein Y is a vector expression consisting of the ordinate of the thin boundary point, and X is a vector expression consisting of the abscissa of the thin boundary point.
According to the principle of least square method, the generalized least square solution of the parameter vector W in the polynomial curve function is:
W＝(XTX)-1XTY
further, from the determined parameter vector W, a polynomial curve function may be determined and used as a room antenna radiation boundary throughout the fine boundary point.
Therefore, the boundary calculation method of the indoor antenna, according to the embodiment of the application, based on gridding division of the target area, the coarse grid and the fine grid are divided by comprehensively considering different fine granularities, and the receiving power of the grid node is obtained based on the fading model, so that the coarse boundary point and the fine boundary point can be accurately determined by using the first constraint condition and the second constraint condition constructed by using the receiving power, the boundary point is fitted, the boundary curve is obtained, and the accuracy and the fine granularity of the boundary division of the indoor antenna are improved.
It should be noted that the method of the embodiments of the present application may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may only perform one or more steps of the method of the embodiments of the present application, and the devices may interact with each other to complete the method.
It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, corresponding to any embodiment method, the embodiment of the application further provides a boundary calculation device of the indoor separation antenna.
Referring to fig. 2, the boundary calculation apparatus of the indoor division antenna includes: a coarse mesh partitioning module 201, a coarse boundary point determining module 202, a fine boundary point determining module 203, and a boundary partitioning module 204.
Wherein, the coarse mesh dividing module 201 is configured to: dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions;
a coarse boundary point determination module 202 configured to: determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna;
a fine boundary point determination module 203 configured to: for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold;
a boundary dividing module 204 configured to: and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve.
For convenience of description, the above devices are described as being divided into various modules by functions, which are described separately. Of course, the functions of the modules may be implemented in the same or multiple software and/or hardware when implementing the embodiments of the present application.
The apparatus of the foregoing embodiment is used to implement the boundary calculation method of the corresponding indoor antenna in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above-mentioned embodiments, the embodiments of the present application further provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the boundary calculation method of the indoor antenna according to any of the above-mentioned embodiments.
Fig. 5 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present Application.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiment of the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
Bus 1050 includes a path that transfers information between various components of the device, such as processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may also include only those components necessary to implement the embodiments of the present application, and not necessarily all of the components shown in the figures.
The apparatus of the foregoing embodiment is used to implement the boundary calculation method of the corresponding indoor antenna in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above-described embodiment methods, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the boundary calculation method of the indoor dividing antenna according to any of the above-described embodiments.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the boundary calculation method of the indoor antenna according to any one of the above embodiments, and have the beneficial effects of the corresponding method embodiments, and are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the context of the present application, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the application. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the application, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the application are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the present application are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present application are intended to be included within the scope of the present application.

Claims (10)

1. A boundary calculation method of a room division antenna comprises the following steps:
dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions;
determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna;
for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold;
and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve.
2. The method according to claim 1, wherein calculating the received power of each coarse grid node for different indoor antennas by using a fading model based on the position comprises:
for each of the coarse mesh nodes, performing the following operations:
determining the distance between each indoor sub-antenna and the connected receiver based on the position of each indoor sub-antenna;
calculating a transmit power based on attributes of the room antennas;
constructing a path loss model based on the light speed by using the transmitting power and the distance as the fading model;
and calculating the receiving power of the coarse grid node to each indoor branch antenna by using the fading model.
3. The method of claim 2, wherein the attributes comprise attitude, pitch, and downtilt, and wherein the calculating the transmit power based on the attributes of the room antenna comprises:
acquiring a directional diagram from the specification information of the indoor sub-antenna, and determining the attitude angle and the pitch angle of the indoor sub-antenna with respect to transmission power according to the directional diagram;
determining the downward inclination angle based on the layout posture of the indoor sub-antenna;
and constructing a transmission power function of the room division antenna towards the coarse grid node by using the attribute, and calculating the transmission power.
4. The method according to claim 1, wherein the determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each of the indoor antennas comprises:
combining all the indoor antennas in pairs to obtain a plurality of first combinations;
for each of the coarse mesh nodes, in response to determining that the received powers of the two indoor sub-antennas in each of the first combinations are both greater than the first power threshold and that the received power difference between the two indoor sub-antennas is less than the first power difference threshold, determining the coarse mesh node as the coarse boundary point.
5. The method according to claim 4, wherein the determining fine boundary points in all fine mesh nodes based on a preset second power threshold and a second power difference threshold and according to the received power of each of the indoor branch antennas comprises:
for each of the fine mesh nodes, in response to determining that the received powers of the two room antennas in each of the first combinations are both greater than the second power threshold and that the received power difference between the two room antennas is less than the second power difference threshold, determining the coarse mesh node as the fine boundary point.
6. The method of claim 1, wherein fitting a boundary curve based on all of the fine boundary points by a polynomial fitting method comprises:
determining the coordinates of each fine boundary point, and designing a parameter vector for the coordinates;
and constructing a polynomial curve function by using the coordinates and the parameter vector, and taking the polynomial curve function as the boundary curve.
7. The method of claim 6, wherein said constructing a polynomial curve function using said coordinates and said parameter vector comprises:
calculating the mean square error of all the fine boundary points and the polynomial curve function;
determining the parameter vector when the mean square error value is minimum by using a least square method;
and constructing a polynomial curve function by using the parameter vector and the coordinates.
8. A boundary computing device for a room diversity antenna, comprising:
a coarse meshing module configured to: dividing a target area by adopting a coarse grid, determining respective positions of a plurality of indoor antennas in the target area, and calculating the receiving power of each coarse grid node corresponding to different indoor antennas by adopting a fading model based on the positions;
a coarse boundary point determination module configured to:
determining a coarse boundary point in all the coarse mesh nodes based on a preset first power threshold and a first power difference threshold and according to the received power of each indoor branch antenna;
a fine boundary point determination module configured to: for each coarse boundary point, dividing the surrounding area by adopting a fine grid, and determining the fine boundary point in all fine grid nodes according to the received power of each indoor branch antenna based on a preset second power threshold and a second power difference threshold; a boundary dividing module configured to: and fitting by a polynomial fitting method to obtain a boundary curve based on all the fine boundary points, and dividing the boundary of each indoor antenna according to the boundary curve.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable by the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the computer program.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method according to any one of claims 1 to 7.
CN202210051246.6A 2022-01-17 2022-01-17 Boundary calculation method of indoor antenna and related device Active CN114598406B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210051246.6A CN114598406B (en) 2022-01-17 2022-01-17 Boundary calculation method of indoor antenna and related device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210051246.6A CN114598406B (en) 2022-01-17 2022-01-17 Boundary calculation method of indoor antenna and related device

Publications (2)

Publication Number Publication Date
CN114598406A true CN114598406A (en) 2022-06-07
CN114598406B CN114598406B (en) 2022-11-15

Family

ID=81805046

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210051246.6A Active CN114598406B (en) 2022-01-17 2022-01-17 Boundary calculation method of indoor antenna and related device

Country Status (1)

Country Link
CN (1) CN114598406B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107249167A (en) * 2017-04-10 2017-10-13 沈磊 Indoor comprehensive locating platform and localization method
CN108834169A (en) * 2018-07-04 2018-11-16 中国联合网络通信集团有限公司 A kind of covering power determines method and device
EP3454619A1 (en) * 2016-05-06 2019-03-13 Huizhou TCL Mobile Communication Co., Ltd. Method and system for realizing communication between antenna cloud nodes in indoor high-density network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3454619A1 (en) * 2016-05-06 2019-03-13 Huizhou TCL Mobile Communication Co., Ltd. Method and system for realizing communication between antenna cloud nodes in indoor high-density network
CN107249167A (en) * 2017-04-10 2017-10-13 沈磊 Indoor comprehensive locating platform and localization method
CN108834169A (en) * 2018-07-04 2018-11-16 中国联合网络通信集团有限公司 A kind of covering power determines method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
KONSTANTINOS KLEISOURIS等: "Empirical Evaluation of Wireless Localization when Using Multiple Antennas", 《IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS》 *
刘淑祎: "面向5G ToB行业应用的无线网络组网设计研究", 《信息通信技术》 *

Also Published As

Publication number Publication date
CN114598406B (en) 2022-11-15

Similar Documents

Publication Publication Date Title
US11227082B2 (en) Installation location determination device and method for installation location determination of radio device
CN109104221B (en) Base station test system, method and storage medium based on 3D Massive MIMO
US11283495B2 (en) Methods for beam tracking and methods for generating a codebook
US11424813B2 (en) Method for determining optimal beam and an electronic device thereof
US11888236B2 (en) Method and device for selecting reception beam on basis of artificial neural network
CN112469060B (en) Antenna parameter determining method and device
US11296768B2 (en) Apparatus and method for arranging beam in wireless communication system
US20210226338A1 (en) Antenna module and electronic device for using the antenna module
CN112637951A (en) Positioning method and device, electronic equipment and computer readable storage medium
CN114598406B (en) Boundary calculation method of indoor antenna and related device
CN116545504A (en) Satellite communication method and system based on reflecting surface and electronic equipment
CN112994767B (en) Conformal antenna-based unmanned aerial vehicle millimeter wave beam training method and device
CN111141952A (en) Method and device for testing purity of vortex wave generated by antenna array
US11736178B2 (en) Electronic device for selecting antenna module and/or beam and operating method thereof
CN114390537B (en) Base station communication coverage method for ultra-high speed moving object and related equipment
CN113315557B (en) Beam initial access method and device
CN112311489A (en) Method and device for determining channel transmission matrix and storage medium
CN116388815B (en) Beam alignment method and device, electronic equipment and storage medium
CN114302413B (en) Base station position deployment method, base station position deployment device, computer equipment and storage medium
CN111865842B (en) Two-stage low-complexity Massive MIMO channel estimation method, device and equipment
US20230126730A1 (en) Electronic device for detecting object and method of the same
US20230268639A1 (en) Electronic device comprising antenna
CN117134875A (en) Channel allocation method, device, electronic equipment and storage medium
CN116318312A (en) Communication strategy selection method and device, electronic equipment and storage medium
CN113726382A (en) Reconfigurable intelligent surface beam forming matrix generation method and related equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant